Functional site prediction selects correct protein models
2008

Predicting Protein Structures Using Functional Sites

Sample size: 5 publication Evidence: moderate

Author Information

Author(s): Chelliah Vijayalakshmi, Taylor William R

Primary Institution: Division of Mathematical Biology, The National Institute for Medical Research

Hypothesis

Can predicted functional site positions help in selecting correct protein models from decoy structures?

Conclusion

The method effectively discriminates native-like protein models from non-native ones using predicted site positions.

Supporting Evidence

  • The method was tested on five small α/β/α proteins.
  • It ranked models based on the proximity of predicted functional residues.
  • The method was applied to larger proteins with successful identification of correct folds.

Takeaway

Scientists can use clues about where proteins do their jobs to figure out which shapes are the right ones for those proteins.

Methodology

The study used a scoring method based on the proximity of predicted functional site residues to rank protein models.

Limitations

The method may not accurately predict models with swapped strands or loops that do not correspond to functional sites.

Digital Object Identifier (DOI)

10.1186/1471-2105-9-S1-S13

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